Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/105666
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Computing | - |
dc.creator | Ho, YH | en_US |
dc.creator | Chan, HCB | en_US |
dc.date.accessioned | 2024-04-15T07:35:47Z | - |
dc.date.available | 2024-04-15T07:35:47Z | - |
dc.identifier.isbn | 978-1-5090-5019-2 (Electronic) | en_US |
dc.identifier.isbn | 978-1-5090-5020-8 (Print on Demand(PoD)) | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/105666 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | ©2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication Y. H. Ho and H. C. B. Chan, "BluePrint: BLE Positioning Algorithm Based on NUFO Detection," GLOBECOM 2017 - 2017 IEEE Global Communications Conference, Singapore, 2017, pp. 1-6 is available at https://doi.org/10.1109/GLOCOM.2017.8254483. | en_US |
dc.title | BluePrint : BLE positioning algorithm based on NUFO detection | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | 10.1109/GLOCOM.2017.8254483 | en_US |
dcterms.abstract | The introduction of the Bluetooth 4.0 and Bluetooth Low Energy (BLE) standard greatly facilitates the development of Internet of Things (IoT) applications. Most of these applications require a positioning mechanism to detect the position of both people and objects. While BLE is a key enabling technology, it is relatively new as compared to Wi-Fi and RFID. Hence there is a need to conduct more studies on BLE-based positioning methods. In general, positioning methods based on signal propagation and fingerprint are commonly used in wireless networking. These methods have their own limitations in terms of practical use and ease of implementation. In this paper, we present an innovative BLE-based positioning methodology called BluePrint which makes use of a detection mechanism called NUFO (Near, Uncertain, Far and Out). It combines a simple fingerprint-like method with a rule-based algorithm to estimate positions. Experimental results show that Blueprint with NUFO detection can achieve good performance as compared to other methods. Furthermore, its implementation is simple and practical. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | GLOBECOM 2017 - 2017 IEEE Global Communications Conference, Singapore, 4-8 December 2017, 8254483 | en_US |
dcterms.issued | 2017 | - |
dc.identifier.scopus | 2-s2.0-85046339921 | - |
dc.relation.conference | IEEE Conference on Global Communications [GLOBECOM] | - |
dc.identifier.artn | 8254483 | en_US |
dc.description.validate | 202402 bcch | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | COMP-1207 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | PolyU | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 25067872 | - |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
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Ho_Blueprint_BLE_Positioning.pdf | Pre-Published version | 1.55 MB | Adobe PDF | View/Open |
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